Beyond Kafka: Real-Time Event Architectures for AI

By completing this form, I acknowledge I have read, understand and agree to the VAST Data Event Terms of Use, as well as to the standard Terms of Service. Information provided will be handled in accordance with our standard Privacy Policy.

Click here to consent to the collection and processing of your personal data by The Infotech Beat & VAST Data under applicable data privacy laws for fulfillment of 'the offer.

Complete the Form Below

VAST Data may follow up in accordance with their Privacy Policy, which offers more information on the privacy practices and how your personal data will be processed by or on behalf of VAST Data.

By accessing advertiser content, your details will be used by The Infotech Beat & VAST Data for the fulfillment of 'the offer' and follow-up after the fulfillment of the offer.

See the Privacy Policy for more information on the privacy practices of VAST Data and how your personal data will be processed by or on behalf of VAST Data.

Beyond Kafka: Real-Time Event Architectures for AI

Kafka made event streaming possible, but running it at scale for AI means managing clusters, replication, and bolt-on tools just to make streams usable. This webinar looks beyond that model, showing how the VAST Event Broker, a Kafka API-compatible engine built into the VAST AI OS, stores every topic as a live, queryable table, unifying streaming and analytics on one platform.

What you'll learn

Why Kafka-based architectures struggle to keep pace with real-time AI workloads
How the VAST Event Broker eliminates cluster sprawl and makes streams instantly queryable
How unifying streaming, analytics, and AI on one platform changes what's possible for live data

Watch the webinar to see real-time event architecture for AI in action.

Watch here